



source  /usr/local/miniconda3/etc/profile.d/conda.sh 



conda activate atlasnet



#* official 
# CUDA_VISIBLE_DEVICES='1' python train.py --shapenet13 --dir_name training/trained_models/atlasnet_autoencoder_1_sphere  --nb_primitives 1 --template_type SPHERE --run_single_eval --no_metro 
    
CUDA_VISIBLE_DEVICES="4,5" python train.py \
--shapenet13 --dir_name training/trained_models/atlasnet_autoencoder_25_squares \
--nb_primitives 25 --template_type SQUARE  --run_single_eval \
--no_metro --reload_model_path training/trained_models/atlasnet_autoencoder_25_squares/network.pth 
    
# CUDA_VISIBLE_DEVICES='0' python train.py --shapenet13 --dir_name training/trained_models/atlasnet_singleview_1_sphere  --nb_primitives 1 --template_type SPHERE --run_single_eval --no_metro  --SVR


# CUDA_VISIBLE_DEVICES='0' python train.py --shapenet13 --dir_name training/trained_models/atlasnet_singleview_25_squares  --nb_primitives 25 --template_type SQUARE  --run_single_eval --no_metro  --SVR




#* mine 
# CUDA_VISIBLE_DEVICES='1' python train.py --shapenet13 --dir_name logs/atlasnet_autoencoder_25_squares  --nb_primitives 25 --template_type SQUARE  --run_single_eval --no_metro --batch_size_test 128 --batch_size 128 --reload_model_path logs/atlasnet_autoencoder_25_squares/network.pth